Integration with transport economics

[Robinlovelace]

There are good ways to tie-in the content on the data science module with the Transport Planning and Econometrics program. We can add streamed content, with statements like "For Transport Planning and Economics students, do this..."

Here are some ideas of streamed content for TPEcon students:

• Regression, that ties-in with Phill's module, this could be a homework for the 2nd session for example: https://www.econometrics-with-r.org/4.6-exercises-4.html
• Spatial interaction models, e.g.: https://cran.r-project.org/web/packages/simodels/vignettes/simodels.html
• Bayesian geographically weighted example (advanced but good), e.g. https://inlabru-org.github.io/inlabru/articles/svc.html#introduction